Pages that link to "Item:Q3110939"
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The following pages link to Bayesian Updating and Model Class Selection for Hysteretic Structural Models Using Stochastic Simulation (Q3110939):
Displaying 29 items.
- Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems (Q330721) (← links)
- Combining integral transform and a generalized probabilistic approach of uncertainties to quantify model-parameter and model uncertainties in computational structural dynamics: the stochastic GITT method (Q821848) (← links)
- Quantification of cohesive fracture parameters based on the coupling of Bayesian updating and the boundary element method (Q1655209) (← links)
- Logical inference for model-based reconstruction of ultrasonic nonlinearity (Q1664817) (← links)
- Bayesian model selection for nonlinear aeroelastic systems using wind-tunnel data (Q1668780) (← links)
- Bayesian modeling of inconsistent plastic response due to material variability (Q1988100) (← links)
- Damage identification under uncertain mass density distributions (Q2022028) (← links)
- Nonlinear model updating through a hierarchical Bayesian modeling framework (Q2138683) (← links)
- Model selection and parameter estimation for an improved approximate Bayesian computation sequential Monte Carlo algorithm (Q2163634) (← links)
- Characterization of partially observed epidemics through Bayesian inference: application to COVID-19 (Q2221735) (← links)
- Global sensitivity analysis for the design of nonlinear identification experiments (Q2296881) (← links)
- Bayesian updating and model class selection with subset simulation (Q2309073) (← links)
- Bayesian system identification based on hierarchical sparse Bayesian learning and Gibbs sampling with application to structural damage assessment (Q2309095) (← links)
- Bayesian model selection using automatic relevance determination for nonlinear dynamical systems (Q2309843) (← links)
- A computational framework for Bayesian inference in plasticity models characterisation (Q2309896) (← links)
- Bayesian inference of nonlinear unsteady aerodynamics from aeroelastic limit cycle oscillations (Q2375247) (← links)
- Estimating fibres' material parameter distributions from limited data with the help of Bayesian inference (Q2421961) (← links)
- Toward selecting optimal predictive multiscale models (Q2679323) (← links)
- Selection and assessment of phenomenological models of tumor growth (Q2836499) (← links)
- Calibration of adhesion models based on Bayesian inference (Q3177947) (← links)
- Using Approximate Bayesian Computation by Subset Simulation for Efficient Posterior Assessment of Dynamic State-Space Model Classes (Q4602890) (← links)
- Stochastic finite element methods for partial differential equations with random input data (Q4683917) (← links)
- Nonlocal viscoelastic Euler-Bernoulli beam model: a Bayesian approach for parameter estimation using the delayed rejection adaptive metropolis algorithm (Q5036776) (← links)
- On the model building for transmission line cables: a Bayesian approach (Q5240413) (← links)
- Finite element model updating using Hamiltonian Monte Carlo techniques (Q5348715) (← links)
- Intercorrelated random fields with bounds and the Bayesian identification of their parameters: Application to linear elastic struts and fibers (Q6070085) (← links)
- A framework for strategic discovery of credible neural network surrogate models under uncertainty (Q6557831) (← links)
- Bayesian structural model updating with multimodal variational autoencoder (Q6588306) (← links)
- Maximum a posteriori estimation for linear structural dynamics models using Bayesian optimization with rational polynomial chaos expansions (Q6643578) (← links)